Statistical Trainer

1 month ago


London, Greater London, United Kingdom NIIT Full time
About the Company

NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements.

The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world's leading training companies owing to its vast, yet comprehensive array of talent development programs.

With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.

Job Description

Position: Statistical Trainer

Location: Europe (Remote)

Job type: Freelance contract

We are seeking a highly skilled Statistical Trainer to join our team. The successful candidate will have a strong background in statistics and experience in developing training courses.

The ideal candidate will have a minimum of 3 years working experience or a PhD in statistics, economy or an equivalent domain, relevant for the statistical field(s) for which he/she is proposed.

The successful candidate will be responsible for designing and delivering training courses on statistical methods and tools in production and innovation management in official statistics.

The training courses will cover a range of topics, including European Statistical System (ESS), Enterprise Architecture (EA) for official statistics, design of statistical processes, data integration, validation, editing and imputation, estimation, time series analysis, seasonal adjustment, econometrics, data ethics and privacy, methods for input privacy, methods for output privacy, geospatial information in statistics, information standards and technologies for describing, exchanging and disseminating data and metadata, statistical classifications, data quality and quality reporting, big data sources, tools and trusted smart statistics, data engineering, big data analytics, processing of large structured, unstructured, (close to) real time, and sensor data, artificial intelligence, machine learning, Bayesian inference, statistical modelling, languages for statistical computing and graphics, visualization and communication with statistics, publication and dissemination, relation with media, skills enhancement and training, project, programmed and portfolio management, data stewardship, relation with stakeholders, innovation and change management, data science skills for the next generation of statisticians, sampling, web scraping and online/smart data.

The successful candidate will also be responsible for developing training materials and evaluating the effectiveness of the training courses.

We are an equal-opportunity employer and welcome applications from qualified candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.


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